Vox EU Article
Here is a link to the Vox EU article on our Penn World Table paper: http://voxeu.org/index.php?q=node/4339.
Here is a link to the Vox EU article on our Penn World Table paper: http://voxeu.org/index.php?q=node/4339.
http://www.nber.org/papers/w15455
Is Newer Better? Penn World Table Revisions and Their Impact on Growth Estimates
Simon Johnson, William Larson, Chris Papageorgiou, Arvind Subramanian
This paper sheds light on two problems in the Penn World Table (PWT) GDP estimates. First, we show that these estimates vary substantially across different versions of the PWT despite being derived from very similar underlying data and using almost identical methodologies; that this variability is systematic; and that it is intrinsic to the methodology deployed by the PWT to estimate growth rates. Moreover, this variability matters for the cross-country growth literature. While growth studies that use low frequency data remain robust to data revisions, studies that use annual data are less robust. Second, the PWT methodology leads to GDP estimates that are not valued at purchasing power parity (PPP) prices. This is surprising because the raison d’etre of the PWT is to adjust national estimates of GDP by valuing output at common international (purchasing power parity [PPP]) prices so that the resulting PPP-adjusted estimates of GDP are comparable across countries. We propose an approach to address these two problems of variability and valuation.
I just finished constructing a new and improved Export Price Index for U.S. counties and cities. The EPI is a Laspeyres-type price index measuring the terms of trade of a region. The weights are from QCEW data, and the prices come from PPI (SIC), PPI (NAICS), PPI (Commodity), and the CPI (urban consumers). For more info, check out http://papers.ssrn.com/sol3/papers.cfm?abstract_id=9252.
Documentation to follow at some point…
As I approach the end of my 4th academic year, I’m still learning new things every day. I’ve written more equations, more lines of Stata code, and read more articles than I’d care to admit, given what I have to show for it. What I’m realizing though, is that in doing all of this work, I’m learning HOW to do research as much as actually doing it. Here are the things that I’ve learned so far in grad school, not in any particular order.
1. Prioritize your time. More than just “make room for a work/life balance” I mean organize your time around what type of work to accomplish. Dissertation research is about both the forest and the trees, and I’ve found that at times I can lose sight of one or the other pretty quickly. My weekly schedule looks something like this.:
2. Don’t get involved with too many projects. I’ve found the hard way that spreading yourself too thin is a recipe for disaster and a great way to spend more time in grad school than you’d originally intended. At first, I did everything that anyone wanted me to do because I was hungry for ideas and to undertake some serious research. Now, it’s all about wrapping up those prior commitments and clearing room, both in my schedule and in my head, for my dissertation and only my dissertation. Some past projects have been valuable and extremely interesting, but the point of grad school is to complete a dissertation. Once you know what your topic is, clear your schedule as fast as you can to get it done.
3. Try not to do work on projects you don’t care about. This may sound obvious, but there are a number of reasons why you could get wrapped up in projects that you find interesting from an academic standpoint, but are not passionate about. The worst thing in the world is perfectionism combined with apathy. If you find the inital intellectual curiosity of a topic fading and become apathetic, it is difficult to do it well. If you have high standards for your own work (likely, given that you’re in grad school), this will be a maddening experience.
4. Use your flexible schedule to your advantage! I spent a total of 8 weeks last year in Montana, 3 weeks in New York, and nearly 2 in Ireland. For a good portion of the time I was in Montana and NY, I was working on RA projects, pre-dissertation research, and an IMF contract. This is the 21st century, folks. We are in a golden age of cheap telecommunication and air travel. Use it.
5. Stand on the shoulders of giants! To use another cliche, don’t reinvent the wheel! By these, I mean that you should use the literature. If someone else has said it before, cite them and use their models/methods/data if at all possible. That way, 1) you borrow other peoples’ credibility, making your approach easier to defend, 2) you save time, 3) it shows a scholarly understanding of economics, and 4) this way, you are actually contributing to economics as a science. Arbitraging theories and empirical techniques from different subfields is my favorite. It takes very little original thought, just a bit of creativity. Just mix flour, sugar, baking powder, milk, eggs, salt, oil, cook it up, and boom-pancakes. If people have done work on a topic you’re working on, great! You can either use them as a straw-man or as a launching point for bigger and better things. It is everyone’s dream to come up with an empirically testable unifying theory of economics, and you can do that later. Grad school is about learning research METHODS, figuring out what you like, and getting the PhD done. That’s it.
That’s it for now. I’m sure I’ll come back later and add to or change some of these.
Now to get that damn dissertation done…
I’ve been working on creating some statistics for pitchers that take out some of the effects of “luck.” This allows pitchers to be more accurately valued and ranked according to underlying ability. The methodology is very simple, but it’s interesting how such simple estimates can tell you when a pitcher is for real (Tim Lincecum), if he’s just lucky as heck (Cliff Lee), or if he’s got the short end of the stick (Javier Vazquez).
Here is a very rough draft of the methodology
Here is an accompanying table in PDF format.
Here is an accompanying table in XLS format.
This is what Econ PhD candidates do in their spare time during the baseball offseason…
http://econ-www.mit.edu/files/3703
from
http://baselinescenario.com/2009/01/08/causes-economics/
Howdy everyone!
2008 has been a good one. This is how it went down:
Winter
Spring
Summer
Fall
Winter
I think that about sums it up, albeit in crude, bullet point form. I feel like this year professionally was sort of a realignment year. By that, I mean it was the final shift from Will Larson the MA Student to Will Larson the PhD Candidate, and it hasn’t been an easy transition. The focus has shifted from answering questions, to finding questions that haven’t been asked, that need answering, that can actualy be answered, and can be answered by me. Not easy…
On a personal level, 2008 saw Maeve and I greatly expand our carbon footprint by traveling all over the world, buying a condo, and nesting (thank you JC Penney, BB&B coupons, and the recession for low prices everywhere). We are truly blessed to be in such a situation that enables us to work, live, and travel in such a way as we do. Next year, we hope to see a finish line for our dissertations and go on the job market in the fall. Hopefully we can find some good jobs in DC.
Take care everyone! I’m excited for 2009 and what it brings!!
All the best to all of you!
Love,
Will
Some holiday reading:
http://blogs.wsj.com/economics/2008/11/11/guest-post-an-economic-strategy-for-obama/
http://baselinescenario.com/2008/12/22/one-world-recession-ready-or-not/
http://www.nytimes.com/2008/11/09/business/09frank.html
On Wednesday I arrived in Montana for the holidays. It’s Sunday now, and it hasn’t been above 10 degrees. Yesterday, the high was -7 and the low was something like -20. I had antelope steak last night and venison sausage this morning for breakfast. The night before, I had a “yo burger” at the Korner Klub which is a burger with a fried egg, a ham steak, and cheese on it. Last, but not least, the Broncos are on local TV as opposed to the Redskins or the Ravens.
It’s so good to be home ![]()
The Fed just cut interest rates to “between 0 and .25%” http://news.yahoo.com/s/ap/20081216/ap_on_bi_st_ma_re/wall_street
This won’t fix everything because real interest rates are too high because of deflation. Next up comes the “printing money like we’re Zimbabwe” part to try and get a bit of inflation back into the economy.